LoRA trained on Lifeline from Apex LegendsLifeline: lifeline \(apex legends\), 1girl, dark-skinned female, dark-skin, crop top, detached sleeves, headband, pants, hair bun, mask around neck, red hair, headsetPirate queen lifeline: pirate queen lifeline, 1girl, dark-skinned female, bandana, green hair, tattooadd "skull hair ornament" for the skullWorlds apart lifeline: worlds apart lifeline, 1girl, dark-skinned female, golden headband, white hair, white pantsmodels usedanime: <a target="_blank" rel="ugc" href="https://civarchive.com/models/28648/yabalmix">YabaL_Mix - V4</a>, <a target="_blank" rel="ugc" href="https://civarchive.com/models/73910?modelVersionId=99960">Yotta Mix - v4.0</a>2,5D: <a target="_blank" rel="ugc" href="https://civarchive.com/models/25831?modelVersionId=89125">SXZ Luma - 0.99 VAE</a>, <a target="_blank" rel="ugc" href="https://civarchive.com/models/7371/rev-animated">ReV Animated - v1.2.2</a>, <a target="_blank" rel="ugc" href="https://civarchive.com/models/67994?modelVersionId=88143">PastelDiffusedMix - V2.1</a>realistic: <a target="_blank" rel="ugc" href="https://civarchive.com/models/82984?modelVersionId=88171">Paragon V1.0</a>, <a target="_blank" rel="ugc" href="https://civarchive.com/models/89381/zavymix?modelVersionId=95141">ZavyMix - a2</a>In the image section, you can see all the other models that have been tested with this LoRA.negative embeddings: <a target="_blank" rel="ugc" href="https://civarchive.com/models/55700/badprompt-negative-embedding">bad_prompt</a>, <a target="_blank" rel="ugc" href="https://civarchive.com/models/56519/negativehand-negative-embedding">negative_hand</a>, <a target="_blank" rel="ugc" href="https://civarchive.com/models/4629/deep-negative-v1x">ng_deepnegative_v1_75t</a>, <a target="_blank" rel="ugc" href="https://huggingface.co/nick-x-hacker/bad-artist/blob/main/bad-artist.pt">bad-artist</a>, <a target="_blank" rel="ugc" href="https://civarchive.com/models/7808/easynegative">EasyNegative</a>Recommended settings:<ul><li>Make sure you are aware on the usage instructions of LORA</li></ul><ul><li>VAE: <a target="_blank" rel="ugc" href="https://huggingface.co/stabilityai/sd-vae-ft-mse-original/blob/main/vae-ft-mse-840000-ema-pruned.safetensors">vae-ft-mse-840000-ema-pruned</a> (for realistic models &amp; 2,5D), <a target="_blank" rel="ugc" href="https://huggingface.co/hakurei/waifu-diffusion-v1-4/blob/main/vae/kl-f8-anime2.ckpt">kl-f8-anime2</a>, <a target="_blank" rel="ugc" href="https://huggingface.co/NoCrypt/blessed_vae/blob/main/blessed2.vae.pt">blessed2.vae</a> (for anime models)</li></ul><ul><li>Sampler: DPM++ SDE Karras or DPM++ 2M Karras(euler a for img2img upscaling) from time to time im also using <a target="_blank" rel="ugc" href="https://civarchive.com/models/35966/dpm-2m-alt-karras-sampler">DPM++ 2M alt Karras</a></li><li>Steps: 20 to 35</li><li>Clipskip: 2</li><li>Upscaler : <a target="_blank" rel="ugc" href="https://github.com/pkuliyi2015/multidiffusion-upscaler-for-automatic1111">GitHub - pkuliyi2015/multidiffusion-upscaler-for-automatic1111</a> <a target="_blank" rel="ugc" href="https://mega.nz/folder/qZRBmaIY#nIG8KyWFcGNTuMX_XNbJ_g/file/vRYVhaDA">4x-UltraSharp(for 2,5D &amp; realistic)</a>, <a target="_blank" rel="ugc" href="https://huggingface.co/konohashinobi4/4xAnimesharp/tree/main">4xAnimesharp(for anime)</a></li><li>CFG Scale : 5 to 9 (mostly 7)</li><li>LORA weight for txt2img: 0.5-1 (for the examples i mostly used 0.8 and 1)</li></ul><ul><li>Denoise strength upscaling: 0.3 to 0.55</li></ul>If you want to autocomplete the tags &amp; trigger im using, I highly recommend using <a target="_blank" rel="ugc" href="https://github.com/DominikDoom/a1111-sd-webui-tagcomplete">Booru style tag autocompletion for AUTOMATIC1111's Stable Diffusion web UI</a>For full body shots i recommend using: <a target="_blank" rel="ugc" href="https://civarchive.com/models/33192/comfyui-impact-pack">ComfyUI Impact Pack</a>or the a1111 alternative <a target="_blank" rel="ugc" href="https://github.com/Bing-su/adetailer">GitHub - Bing-su/adetailer</a>

Files with SHA256: bd9839db2d88204997c9c8842277598a1a9d49a38a924a580dfdea5ea081fa45